Inducing frame semantic verb classes from WordNet and LDOCE

TitleInducing frame semantic verb classes from WordNet and LDOCE
Publication TypeConference Papers
Year of Publication2004
AuthorsGreen R, Dorr BJ, Resnik P
Conference NameProceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Date Published2004///
Abstract

This paper presents SemFrame, a systemthat induces frame semantic verb classes
from WordNet and LDOCE. Semantic
frames are thought to have significant
potential in resolving the paraphrase
problem challenging many language-
based applications.
When compared to the handcrafted
FrameNet, SemFrame achieves its best
recall-precision balance with 83.2%
recall (based on SemFrame's coverage of
FrameNet frames) and 73.8% precision
(based on SemFrame verbs’ semantic
relatedness to frame-evoking verbs). The
next best performing semantic verb
classes achieve 56.9% recall and 55.0%
precision.